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@holdenk Could you also please take a look at this PR?
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@sujithjay, thanks! I am a bot who has found some folks who might be able
to help with the review:@mengxr, @jkbradley and @MLnick
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GitHub user sujithjay opened a pull request:
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[SPARK-24283][ML] Make ml.StandardScaler skip conversion of Sparâ¦
â¦k ml vectors to mllib vectors
## What changes were proposed in this pull request?
Currently, ml.StandardScaler
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@tdas @zsxwing @jose-torres @jerryshao @arunmahadevan @HyukjinKwon, please
help with the review and merge.
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Github user mgaido91 commented on the issue:
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@jerryshao that can be done but I see mainly 2 problems IIUC:
- your suggestion about blacklisting has the same "caching" and "memory
leakage" problems of the solution proposed here, ie. if
Github user MaxGekk commented on a diff in the pull request:
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@@ -339,29 +400,30 @@ class RelationalGroupedDataset
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@HyukjinKwon @maropu Any objections to the PR?
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Yea.. I hope so. only one comment left.
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.intConf
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I have built spark with the same changes for thrift server. It is running
fine for me.
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Github user felixcheung commented on the issue:
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so... can we still target this for 2.4? sounds like very good to have and
complimentary to hydrogen
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Jenkins, retest this please
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this https://github.com/squito/spark-memory
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My current thinking is to revert SPARK-20172 and improve the logging when
exception is met during the actual read.
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got it
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Thank you for the change, @MaxGekk!
@HyukjinKwon my idea was actually that the overloaded versions of pivot
would be `pivot(column: Column, values, Seq[Column])`, so that we can construct
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retest this please
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retest this please
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I think that's binary-incompatible breaking API change, right?
ex.
https://github.com/apache/spark/pull/21930/files#diff-2b8f0f66fe5397b169d0f754e99da8d5R64
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Thanks @MaxGekk I've fixed the error and also made the parser run faster
than before when processing fields that were not selected in general.
Can you please retest with the latest SNAPSHOT
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grammar SqlBase;
@members
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